Building a Trend Detection System with AI in TypeScript: A Step-by-Step Guide

This guide details the creation and deployment of a social media trend detection system using TypeScript and AI, designed to monitor platforms and deliver trend analyses via Slack. The system involves setting up a local development environment, configuring essential services like Slack Webhook, X (Twitter) API, Together AI, and Firecrawl API, and managing environment variables for secure API token handling. The project's architecture is modular, with components for scraping content from specified sources, analyzing trends using AI models, and sending notifications through Slack. It leverages Docker for scalability and GitHub Actions for automated, scheduled execution, with workflows configured to run daily or manually at user discretion. The guide also emphasizes handling free-tier limitations of used services and suggests methods to extend the system, such as tracking additional topics or sources and enhancing analysis capabilities.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.